Overview

Dataset statistics

Number of variables24
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.1 KiB
Average record size in memory209.4 B

Variable types

Categorical15
Text1
Numeric7
DateTime1

Dataset

Description샘플 데이터
Author펌프킨
URLhttps://bigdata-region.kr/#/dataset/cda892d4-35c9-4f5c-a2af-82e556448458

Alerts

충전_구분 has constant value ""Constant
충전_방식 has constant value ""Constant
전력_사용량_(중간부하) has constant value ""Constant
전력_사용량_(최대부하) has constant value ""Constant
비고 has constant value ""Constant
생산_일시 has constant value ""Constant
전력_사용량 has 2 (6.7%) zerosZeros
충전_시간 has 14 (46.7%) zerosZeros
전력_사용량_(경부하) has 2 (6.7%) zerosZeros

Reproduction

Analysis started2023-12-10 13:46:34.234849
Analysis finished2023-12-10 13:46:34.528366
Duration0.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

충전_일시
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-07-01 00:00:02
9 
2023-07-01 00:00:04
6 
2023-07-01 00:00:00
5 
2023-07-01 00:00:01
5 
2023-07-01 00:00:03
5 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-01 00:00:00
2nd row2023-07-01 00:00:00
3rd row2023-07-01 00:00:00
4th row2023-07-01 00:00:00
5th row2023-07-01 00:00:00

Common Values

ValueCountFrequency (%)
2023-07-01 00:00:02 9
30.0%
2023-07-01 00:00:04 6
20.0%
2023-07-01 00:00:00 5
16.7%
2023-07-01 00:00:01 5
16.7%
2023-07-01 00:00:03 5
16.7%

Length

2023-12-10T22:46:34.695615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:46:34.867202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-01 30
50.0%
00:00:02 9
 
15.0%
00:00:04 6
 
10.0%
00:00:00 5
 
8.3%
00:00:01 5
 
8.3%
00:00:03 5
 
8.3%

충전소_ID
Categorical

Distinct11
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
KRPPKCS0113
7 
KRPPKCS0087
5 
KRPPKCS0097
4 
KRPPKCS0083
2 
KRPPKCS0149
2 
Other values (6)
10 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique2 ?
Unique (%)6.7%

Sample

1st rowKRPPKCS0087
2nd rowKRPPKCS0083
3rd rowKRPPKCS0097
4th rowKRPPKCS0149
5th rowKRPPKCS0087

Common Values

ValueCountFrequency (%)
KRPPKCS0113 7
23.3%
KRPPKCS0087 5
16.7%
KRPPKCS0097 4
13.3%
KRPPKCS0083 2
 
6.7%
KRPPKCS0149 2
 
6.7%
KRPPKCS0071 2
 
6.7%
KRPPKCS0153 2
 
6.7%
KRPPKCS0090 2
 
6.7%
KRPPKCS0051 2
 
6.7%
KRPPKCS0123 1
 
3.3%

Length

2023-12-10T22:46:35.067431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
krppkcs0113 7
23.3%
krppkcs0087 5
16.7%
krppkcs0097 4
13.3%
krppkcs0083 2
 
6.7%
krppkcs0149 2
 
6.7%
krppkcs0071 2
 
6.7%
krppkcs0153 2
 
6.7%
krppkcs0090 2
 
6.7%
krppkcs0051 2
 
6.7%
krppkcs0123 1
 
3.3%

충전기_ID
Text

Distinct17
Distinct (%)56.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T22:46:35.324407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters330
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)16.7%

Sample

1st rowKRPPKCP0657
2nd rowKRPPKCP0634
3rd rowKRPPKCP0712
4th rowKRPPKCP1039
5th rowKRPPKCP0656
ValueCountFrequency (%)
krppkcp0657 3
 
10.0%
krppkcp1051 2
 
6.7%
krppkcp0663 2
 
6.7%
krppkcp0797 2
 
6.7%
krppkcp0798 2
 
6.7%
krppkcp0711 2
 
6.7%
krppkcp0793 2
 
6.7%
krppkcp0577 2
 
6.7%
krppkcp0634 2
 
6.7%
krppkcp0656 2
 
6.7%
Other values (7) 9
30.0%
2023-12-10T22:46:35.843264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
P 90
27.3%
K 60
18.2%
R 30
 
9.1%
C 30
 
9.1%
0 30
 
9.1%
7 20
 
6.1%
6 14
 
4.2%
1 13
 
3.9%
5 12
 
3.6%
3 10
 
3.0%
Other values (4) 21
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 210
63.6%
Decimal Number 120
36.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 30
25.0%
7 20
16.7%
6 14
11.7%
1 13
10.8%
5 12
 
10.0%
3 10
 
8.3%
9 10
 
8.3%
2 4
 
3.3%
8 4
 
3.3%
4 3
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
P 90
42.9%
K 60
28.6%
R 30
 
14.3%
C 30
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 210
63.6%
Common 120
36.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 30
25.0%
7 20
16.7%
6 14
11.7%
1 13
10.8%
5 12
 
10.0%
3 10
 
8.3%
9 10
 
8.3%
2 4
 
3.3%
8 4
 
3.3%
4 3
 
2.5%
Latin
ValueCountFrequency (%)
P 90
42.9%
K 60
28.6%
R 30
 
14.3%
C 30
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 330
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
P 90
27.3%
K 60
18.2%
R 30
 
9.1%
C 30
 
9.1%
0 30
 
9.1%
7 20
 
6.1%
6 14
 
4.2%
1 13
 
3.9%
5 12
 
3.6%
3 10
 
3.0%
Other values (4) 21
 
6.4%

시도_코드
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
41
12 
48
11 
11
4 
26
2 
28
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row41
2nd row41
3rd row11
4th row48
5th row41

Common Values

ValueCountFrequency (%)
41 12
40.0%
48 11
36.7%
11 4
 
13.3%
26 2
 
6.7%
28 1
 
3.3%

Length

2023-12-10T22:46:36.063847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:46:36.243363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
41 12
40.0%
48 11
36.7%
11 4
 
13.3%
26 2
 
6.7%
28 1
 
3.3%

시군구_코드
Real number (ℝ)

Distinct11
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean278.16667
Minimum117
Maximum650
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:46:36.406825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum117
5-th percentile119.7
Q1125
median150
Q3440
95-th percentile650
Maximum650
Range533
Interquartile range (IQR)315

Descriptive statistics

Standard deviation195.21961
Coefficient of variation (CV)0.70180806
Kurtosis-0.70412377
Mean278.16667
Median Absolute Deviation (MAD)27
Skewness0.91024027
Sum8345
Variance38110.695
MonotonicityNot monotonic
2023-12-10T22:46:36.586921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
125 7
23.3%
150 5
16.7%
650 4
13.3%
117 2
 
6.7%
170 2
 
6.7%
480 2
 
6.7%
410 2
 
6.7%
450 2
 
6.7%
123 2
 
6.7%
260 1
 
3.3%
ValueCountFrequency (%)
117 2
 
6.7%
123 2
 
6.7%
125 7
23.3%
150 5
16.7%
170 2
 
6.7%
260 1
 
3.3%
360 1
 
3.3%
410 2
 
6.7%
450 2
 
6.7%
480 2
 
6.7%
ValueCountFrequency (%)
650 4
13.3%
480 2
 
6.7%
450 2
 
6.7%
410 2
 
6.7%
360 1
 
3.3%
260 1
 
3.3%
170 2
 
6.7%
150 5
16.7%
125 7
23.3%
123 2
 
6.7%

시도_명
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
경기도
12 
경상남도
11 
서울특별시
4 
부산광역시
2 
인천광역시
 
1

Length

Max length5
Median length4
Mean length3.8333333
Min length3

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row경기도
2nd row경기도
3rd row서울특별시
4th row경상남도
5th row경기도

Common Values

ValueCountFrequency (%)
경기도 12
40.0%
경상남도 11
36.7%
서울특별시 4
 
13.3%
부산광역시 2
 
6.7%
인천광역시 1
 
3.3%

Length

2023-12-10T22:46:36.819195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:46:37.004928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 12
40.0%
경상남도 11
36.7%
서울특별시 4
 
13.3%
부산광역시 2
 
6.7%
인천광역시 1
 
3.3%

시군구_명
Categorical

Distinct10
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
창원시
9 
의정부시
5 
서초구
4 
수원시
2 
진주시
2 
Other values (5)
8 

Length

Max length4
Median length3
Mean length3.1666667
Min length2

Unique

Unique2 ?
Unique (%)6.7%

Sample

1st row의정부시
2nd row수원시
3rd row서초구
4th row진주시
5th row의정부시

Common Values

ValueCountFrequency (%)
창원시 9
30.0%
의정부시 5
16.7%
서초구 4
13.3%
수원시 2
 
6.7%
진주시 2
 
6.7%
파주시 2
 
6.7%
금정구 2
 
6.7%
하남시 2
 
6.7%
서구 1
 
3.3%
남양주시 1
 
3.3%

Length

2023-12-10T22:46:37.254110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:46:37.468028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
창원시 9
30.0%
의정부시 5
16.7%
서초구 4
13.3%
수원시 2
 
6.7%
진주시 2
 
6.7%
파주시 2
 
6.7%
금정구 2
 
6.7%
하남시 2
 
6.7%
서구 1
 
3.3%
남양주시 1
 
3.3%

충전소_명
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
**** ***
15 
*******
10 
** *****
2 
***** *****
2 
****** ***
 
1

Length

Max length11
Median length8
Mean length7.9333333
Min length7

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row*******
2nd row*******
3rd row**** ***
4th row** *****
5th row*******

Common Values

ValueCountFrequency (%)
**** *** 15
50.0%
******* 10
33.3%
** ***** 2
 
6.7%
***** ***** 2
 
6.7%
****** *** 1
 
3.3%

Length

2023-12-10T22:46:37.690962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:46:37.890587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
50
100.0%

위도
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
37
17 
35
13 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row37
2nd row37
3rd row37
4th row35
5th row37

Common Values

ValueCountFrequency (%)
37 17
56.7%
35 13
43.3%

Length

2023-12-10T22:46:38.112848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:46:38.301169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
37 17
56.7%
35 13
43.3%

경도
Categorical

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
127
14 
128
11 
126
3 
129
2 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row127
2nd row127
3rd row127
4th row128
5th row127

Common Values

ValueCountFrequency (%)
127 14
46.7%
128 11
36.7%
126 3
 
10.0%
129 2
 
6.7%

Length

2023-12-10T22:46:38.476071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:46:38.690883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
127 14
46.7%
128 11
36.7%
126 3
 
10.0%
129 2
 
6.7%

충전_구분
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
13
30 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13
2nd row13
3rd row13
4th row13
5th row13

Common Values

ValueCountFrequency (%)
13 30
100.0%

Length

2023-12-10T22:46:38.868976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:46:39.020460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 30
100.0%

충전_방식
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
D
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowD
2nd rowD
3rd rowD
4th rowD
5th rowD

Common Values

ValueCountFrequency (%)
D 30
100.0%

Length

2023-12-10T22:46:39.217203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:46:39.409389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
d 30
100.0%

시작_일시
Categorical

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-07-01 00:00:00
11 
2023-07-01 00:00:02
11 
2023-07-01 00:00:01
4 
2023-07-01 00:00:04
4 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-01 00:00:00
2nd row2023-07-01 00:00:00
3rd row2023-07-01 00:00:00
4th row2023-07-01 00:00:00
5th row2023-07-01 00:00:00

Common Values

ValueCountFrequency (%)
2023-07-01 00:00:00 11
36.7%
2023-07-01 00:00:02 11
36.7%
2023-07-01 00:00:01 4
 
13.3%
2023-07-01 00:00:04 4
 
13.3%

Length

2023-12-10T22:46:39.544894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:46:39.879563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-01 30
50.0%
00:00:00 11
 
18.3%
00:00:02 11
 
18.3%
00:00:01 4
 
6.7%
00:00:04 4
 
6.7%

종료_일시
Date

Distinct17
Distinct (%)56.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2023-07-01 00:01:55
Maximum2023-07-01 02:02:27
2023-12-10T22:46:40.132176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:46:40.428697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)

시작_SOC
Real number (ℝ)

Distinct15
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.666667
Minimum28
Maximum98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:46:40.766885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28
5-th percentile29.8
Q163
median80.5
Q392
95-th percentile98
Maximum98
Range70
Interquartile range (IQR)29

Descriptive statistics

Standard deviation22.039672
Coefficient of variation (CV)0.29127319
Kurtosis0.18871197
Mean75.666667
Median Absolute Deviation (MAD)15
Skewness-1.0499656
Sum2270
Variance485.74713
MonotonicityNot monotonic
2023-12-10T22:46:41.014607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
92 4
13.3%
87 3
10.0%
98 3
10.0%
28 2
 
6.7%
96 2
 
6.7%
74 2
 
6.7%
78 2
 
6.7%
32 2
 
6.7%
62 2
 
6.7%
97 2
 
6.7%
Other values (5) 6
20.0%
ValueCountFrequency (%)
28 2
6.7%
32 2
6.7%
61 2
6.7%
62 2
6.7%
66 1
3.3%
67 1
3.3%
74 2
6.7%
75 1
3.3%
78 2
6.7%
83 1
3.3%
ValueCountFrequency (%)
98 3
10.0%
97 2
6.7%
96 2
6.7%
92 4
13.3%
87 3
10.0%
83 1
 
3.3%
78 2
6.7%
75 1
 
3.3%
74 2
6.7%
67 1
 
3.3%

종료_SOC
Real number (ℝ)

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.1
Minimum91
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:46:41.291737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum91
5-th percentile94
Q195.75
median99.5
Q3100
95-th percentile100
Maximum100
Range9
Interquartile range (IQR)4.25

Descriptive statistics

Standard deviation2.5508619
Coefficient of variation (CV)0.02600267
Kurtosis0.43530551
Mean98.1
Median Absolute Deviation (MAD)0.5
Skewness-1.2011811
Sum2943
Variance6.5068966
MonotonicityNot monotonic
2023-12-10T22:46:41.468559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
100 15
50.0%
95 5
 
16.7%
98 4
 
13.3%
99 3
 
10.0%
94 2
 
6.7%
91 1
 
3.3%
ValueCountFrequency (%)
91 1
 
3.3%
94 2
 
6.7%
95 5
 
16.7%
98 4
 
13.3%
99 3
 
10.0%
100 15
50.0%
ValueCountFrequency (%)
100 15
50.0%
99 3
 
10.0%
98 4
 
13.3%
95 5
 
16.7%
94 2
 
6.7%
91 1
 
3.3%

SOC_충전_량
Real number (ℝ)

Distinct12
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.433333
Minimum1
Maximum66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:46:41.624340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.45
Q17
median12.5
Q336.75
95-th percentile66
Maximum66
Range65
Interquartile range (IQR)29.75

Descriptive statistics

Standard deviation21.589722
Coefficient of variation (CV)0.96239474
Kurtosis-0.16355499
Mean22.433333
Median Absolute Deviation (MAD)11
Skewness0.97784548
Sum673
Variance466.11609
MonotonicityNot monotonic
2023-12-10T22:46:41.801112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
8 6
20.0%
66 4
13.3%
2 3
10.0%
4 2
 
6.7%
26 2
 
6.7%
17 2
 
6.7%
38 2
 
6.7%
1 2
 
6.7%
7 2
 
6.7%
39 2
 
6.7%
Other values (2) 3
10.0%
ValueCountFrequency (%)
1 2
 
6.7%
2 3
10.0%
4 2
 
6.7%
7 2
 
6.7%
8 6
20.0%
17 2
 
6.7%
25 1
 
3.3%
26 2
 
6.7%
33 2
 
6.7%
38 2
 
6.7%
ValueCountFrequency (%)
66 4
13.3%
39 2
 
6.7%
38 2
 
6.7%
33 2
 
6.7%
26 2
 
6.7%
25 1
 
3.3%
17 2
 
6.7%
8 6
20.0%
7 2
 
6.7%
4 2
 
6.7%

전력_사용량
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)53.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.933333
Minimum0
Maximum192
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:46:42.003033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9
Q18.25
median29
Q398
95-th percentile186.15
Maximum192
Range192
Interquartile range (IQR)89.75

Descriptive statistics

Standard deviation63.657453
Coefficient of variation (CV)1.0801604
Kurtosis-0.21917555
Mean58.933333
Median Absolute Deviation (MAD)26
Skewness1.0337878
Sum1768
Variance4052.2713
MonotonicityNot monotonic
2023-12-10T22:46:42.237672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
29 3
 
10.0%
8 3
 
10.0%
192 2
 
6.7%
131 2
 
6.7%
12 2
 
6.7%
3 2
 
6.7%
0 2
 
6.7%
106 2
 
6.7%
179 2
 
6.7%
48 2
 
6.7%
Other values (6) 8
26.7%
ValueCountFrequency (%)
0 2
6.7%
2 1
 
3.3%
3 2
6.7%
8 3
10.0%
9 2
6.7%
12 2
6.7%
24 1
 
3.3%
29 3
10.0%
48 2
6.7%
51 1
 
3.3%
ValueCountFrequency (%)
192 2
6.7%
179 2
6.7%
131 2
6.7%
106 2
6.7%
74 1
 
3.3%
73 2
6.7%
51 1
 
3.3%
48 2
6.7%
29 3
10.0%
24 1
 
3.3%

충전_시간
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean481.16667
Minimum0
Maximum1950
Zeros14
Zeros (%)46.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:46:42.510723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median233
Q3753
95-th percentile1447
Maximum1950
Range1950
Interquartile range (IQR)753

Descriptive statistics

Standard deviation587.44221
Coefficient of variation (CV)1.2208705
Kurtosis-0.2404223
Mean481.16667
Median Absolute Deviation (MAD)233
Skewness0.96129129
Sum14435
Variance345088.35
MonotonicityNot monotonic
2023-12-10T22:46:42.729572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 14
46.7%
1447 3
 
10.0%
751 2
 
6.7%
311 2
 
6.7%
753 2
 
6.7%
459 2
 
6.7%
1207 2
 
6.7%
1950 1
 
3.3%
155 1
 
3.3%
1027 1
 
3.3%
ValueCountFrequency (%)
0 14
46.7%
155 1
 
3.3%
311 2
 
6.7%
459 2
 
6.7%
751 2
 
6.7%
753 2
 
6.7%
1027 1
 
3.3%
1207 2
 
6.7%
1447 3
 
10.0%
1950 1
 
3.3%
ValueCountFrequency (%)
1950 1
 
3.3%
1447 3
 
10.0%
1207 2
 
6.7%
1027 1
 
3.3%
753 2
 
6.7%
751 2
 
6.7%
459 2
 
6.7%
311 2
 
6.7%
155 1
 
3.3%
0 14
46.7%

전력_사용량_(경부하)
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)53.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.933333
Minimum0
Maximum192
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:46:42.936634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9
Q18.25
median29
Q398
95-th percentile186.15
Maximum192
Range192
Interquartile range (IQR)89.75

Descriptive statistics

Standard deviation63.657453
Coefficient of variation (CV)1.0801604
Kurtosis-0.21917555
Mean58.933333
Median Absolute Deviation (MAD)26
Skewness1.0337878
Sum1768
Variance4052.2713
MonotonicityNot monotonic
2023-12-10T22:46:43.136185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
29 3
 
10.0%
8 3
 
10.0%
192 2
 
6.7%
131 2
 
6.7%
12 2
 
6.7%
3 2
 
6.7%
0 2
 
6.7%
106 2
 
6.7%
179 2
 
6.7%
48 2
 
6.7%
Other values (6) 8
26.7%
ValueCountFrequency (%)
0 2
6.7%
2 1
 
3.3%
3 2
6.7%
8 3
10.0%
9 2
6.7%
12 2
6.7%
24 1
 
3.3%
29 3
10.0%
48 2
6.7%
51 1
 
3.3%
ValueCountFrequency (%)
192 2
6.7%
179 2
6.7%
131 2
6.7%
106 2
6.7%
74 1
 
3.3%
73 2
6.7%
51 1
 
3.3%
48 2
6.7%
29 3
10.0%
24 1
 
3.3%

전력_사용량_(중간부하)
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T22:46:43.429165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:46:43.736810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

전력_사용량_(최대부하)
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T22:46:44.001270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:46:44.237859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

비고
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-10-12 전기차 충전 이력
30 

Length

Max length20
Median length20
Mean length20
Min length20

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-10-12 전기차 충전 이력
2nd row2023-10-12 전기차 충전 이력
3rd row2023-10-12 전기차 충전 이력
4th row2023-10-12 전기차 충전 이력
5th row2023-10-12 전기차 충전 이력

Common Values

ValueCountFrequency (%)
2023-10-12 전기차 충전 이력 30
100.0%

Length

2023-12-10T22:46:44.582165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:46:44.850092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10-12 30
25.0%
전기차 30
25.0%
충전 30
25.0%
이력 30
25.0%

생산_일시
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-10-12 11:14:06
30 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-10-12 11:14:06
2nd row2023-10-12 11:14:06
3rd row2023-10-12 11:14:06
4th row2023-10-12 11:14:06
5th row2023-10-12 11:14:06

Common Values

ValueCountFrequency (%)
2023-10-12 11:14:06 30
100.0%

Length

2023-12-10T22:46:45.114735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:46:45.384916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10-12 30
50.0%
11:14:06 30
50.0%

Sample

충전_일시충전소_ID충전기_ID시도_코드시군구_코드시도_명시군구_명충전소_명위도경도충전_구분충전_방식시작_일시종료_일시시작_SOC종료_SOCSOC_충전_량전력_사용량충전_시간전력_사용량_(경부하)전력_사용량_(중간부하)전력_사용량_(최대부하)비고생산_일시
02023-07-01 00:00:00KRPPKCS0087KRPPKCP065741150경기도의정부시*******3712713D2023-07-01 00:00:002023-07-01 00:14:478795829144729002023-10-12 전기차 충전 이력2023-10-12 11:14:06
12023-07-01 00:00:00KRPPKCS0083KRPPKCP063441117경기도수원시*******3712713D2023-07-01 00:00:002023-07-01 02:02:272894661920192002023-10-12 전기차 충전 이력2023-10-12 11:14:06
22023-07-01 00:00:00KRPPKCS0097KRPPKCP071211650서울특별시서초구**** ***3712713D2023-07-01 00:00:002023-07-01 00:07:5196100497519002023-10-12 전기차 충전 이력2023-10-12 11:14:06
32023-07-01 00:00:00KRPPKCS0149KRPPKCP103948170경상남도진주시** *****3512813D2023-07-01 00:00:002023-07-01 00:43:24741002673073002023-10-12 전기차 충전 이력2023-10-12 11:14:06
42023-07-01 00:00:00KRPPKCS0087KRPPKCP065641150경기도의정부시*******3712713D2023-07-01 00:00:002023-07-01 00:31:3578951748048002023-10-12 전기차 충전 이력2023-10-12 11:14:06
52023-07-01 00:00:01KRPPKCS0097KRPPKCP071211650서울특별시서초구**** ***3712713D2023-07-01 00:00:002023-07-01 00:07:5196100497519002023-10-12 전기차 충전 이력2023-10-12 11:14:06
62023-07-01 00:00:01KRPPKCS0083KRPPKCP063441117경기도수원시*******3712713D2023-07-01 00:00:002023-07-01 02:02:272894661920192002023-10-12 전기차 충전 이력2023-10-12 11:14:06
72023-07-01 00:00:01KRPPKCS0071KRPPKCP057741480경기도파주시**** ***3712613D2023-07-01 00:00:012023-07-01 01:44:473298661790179002023-10-12 전기차 충전 이력2023-10-12 11:14:06
82023-07-01 00:00:01KRPPKCS0087KRPPKCP065741150경기도의정부시*******3712713D2023-07-01 00:00:002023-07-01 00:14:478795829144729002023-10-12 전기차 충전 이력2023-10-12 11:14:06
92023-07-01 00:00:01KRPPKCS0097KRPPKCP071111650서울특별시서초구**** ***3712713D2023-07-01 00:00:012023-07-01 01:01:5862100381060106002023-10-12 전기차 충전 이력2023-10-12 11:14:06
충전_일시충전소_ID충전기_ID시도_코드시군구_코드시도_명시군구_명충전소_명위도경도충전_구분충전_방식시작_일시종료_일시시작_SOC종료_SOCSOC_충전_량전력_사용량충전_시간전력_사용량_(경부하)전력_사용량_(중간부하)전력_사용량_(최대부하)비고생산_일시
202023-07-01 00:00:03KRPPKCS0097KRPPKCP071111650서울특별시서초구**** ***3712713D2023-07-01 00:00:012023-07-01 01:01:5862100381060106002023-10-12 전기차 충전 이력2023-10-12 11:14:06
212023-07-01 00:00:03KRPPKCS0153KRPPKCP105126410부산광역시금정구**** ***3512913D2023-07-01 00:00:022023-07-01 00:03:119798103110002023-10-12 전기차 충전 이력2023-10-12 11:14:06
222023-07-01 00:00:03KRPPKCS0090KRPPKCP066341450경기도하남시*******3712713D2023-07-01 00:00:022023-07-01 01:25:4561100391310131002023-10-12 전기차 충전 이력2023-10-12 11:14:06
232023-07-01 00:00:03KRPPKCS0113KRPPKCP079748125경상남도창원시**** ***3512813D2023-07-01 00:00:022023-07-01 00:12:079299712120712002023-10-12 전기차 충전 이력2023-10-12 11:14:06
242023-07-01 00:00:04KRPPKCS0051KRPPKCP032148123경상남도창원시***** *****3512813D2023-07-01 00:00:042023-07-01 00:39:24671003374074002023-10-12 전기차 충전 이력2023-10-12 11:14:06
252023-07-01 00:00:04KRPPKCS0051KRPPKCP032548123경상남도창원시***** *****3512813D2023-07-01 00:00:042023-07-01 00:30:1666993351051002023-10-12 전기차 충전 이력2023-10-12 11:14:06
262023-07-01 00:00:04KRPPKCS0123KRPPKCP084528260인천광역시서구****** ***3712613D2023-07-01 00:00:042023-07-01 00:01:5598100221552002023-10-12 전기차 충전 이력2023-10-12 11:14:06
272023-07-01 00:00:04KRPPKCS0113KRPPKCP079848125경상남도창원시**** ***3512813D2023-07-01 00:00:022023-07-01 00:04:5998100234593002023-10-12 전기차 충전 이력2023-10-12 11:14:06
282023-07-01 00:00:04KRPPKCS0113KRPPKCP079348125경상남도창원시**** ***3512813D2023-07-01 00:00:022023-07-01 00:07:5392100887538002023-10-12 전기차 충전 이력2023-10-12 11:14:06
292023-07-01 00:00:04KRPPKCS0088KRPPKCP065841360경기도남양주시*******3712713D2023-07-01 00:00:042023-07-01 00:10:2783918810278002023-10-12 전기차 충전 이력2023-10-12 11:14:06